Ocorreu um erro. Detalhes Ocultar
Você tem páginas não gravadas. Restaurar Cancelar

Alemanha

  • População, pessoas:82.927.922 (2018)
  • Área, km2:349.360
  • PIB per capita, US$:48.196 (2018)
  • PIB, bilhões em US$ atuais:3.996,8 (2018)
  • Índice de GINI:No data
  • Facilidade para Fazer Negócios:24

Daily

Todos os conjuntos de dados:  C E G L O R S W
  • C
    • agosto 2019
      Fonte: European Central Bank
      Carregamento por: Knoema
      Acesso em 29 agosto, 2019
      Selecionar Conjunto de dados
      Composite Indicator of Systemic Stress (CISS)
    • abril 2015
      Fonte: International Monetary Fund
      Carregamento por: Sandeep Reddy
      Acesso em 20 agosto, 2015
      Selecionar Conjunto de dados
      Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.
  • E
  • G
    • novembro 2019
      Fonte: Global Database of Events, Language, and Tone
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
      Selecionar Conjunto de dados
      Data cited at: Global Database of Events, Language, and Tone   The GDELT Event Database records over 300 categories of physical activities around the world, from riots and protests to peace appeals and diplomatic exchanges, georeferenced to the city or mountain top, across the entire planet dating back to January 1, 1979 and updated every 15 minutes. Essentially it takes a sentence like "The United States criticized Russia yesterday for deploying its troops in Crimea, in which a recent clash with its soldiers left 10 civilians injured" and transforms this blurb of unstructured text into three structured database entries, recording US CRITICIZES RUSSIA, RUSSIA TROOP-DEPLOY UKRAINE (CRIMEA), and RUSSIA MATERIAL-CONFLICT CIVILIANS (CRIMEA). Nearly 60 attributes are captured for each event, including the approximate location of the action and those involved. This translates the textual descriptions of world events captured in the news media into codified entries in a grand "global spreadsheet."
    • outubro 2019
      Fonte: Economic Policy Uncertainty
      Carregamento por: Knoema
      Acesso em 16 outubro, 2019
      Selecionar Conjunto de dados
      Data cited at: Economic Policy Uncertainty The Global Economic Policy Uncertainty (GEPU) Index is a GDP-weighted average of national EPU indices for 20 countries: Australia, Brazil, Canada, Chile, China, France, Germany, Greece, India, Ireland, Italy, Japan, Mexico, the Netherlands, Russia, South Korea, Spain, Sweden, the United Kingdom, and the United States.
    • outubro 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 18 outubro, 2019
      Selecionar Conjunto de dados
      Vulnerabilities in a Maturing Credit Cycle The October 2019 Global Financial Stability Report (GFSR) finds that despite significant variability over the past two quarters, financial conditions remain accommodative. As a result, financial vulnerabilities have continued to build in the sovereign, corporate, and non bank financial sectors in several systemically important countries, leading to elevated medium-term risks. The report attempts to provide a comprehensive assessment of these vulnerabilities while focusing specifically on corporate sector debt in advanced economies, the sovereign–financial sector nexus in the euro area, China’s financial imbalances, volatile portfolio flows to emerging markets, and downside risks to the housing market. These vulnerabilities require action by policymakers, including through the clear communication of any changes in their monetary policy outlook, the deployment and expansion of macroprudential tools, the stepping up of measures to repair public and private sector balance sheets, and the strengthening of emerging market resilience to foreign portfolio out flows. Downside Risks to House Prices The study and quantifies house prices at risk, a measure of downside risks to future house price growth—using theory, insights from past analyses, and new statistical techniques applied to 32 advanced and emerging market economies and major cities. The chapter finds that lower house price momentum, overvaluation, excessive credit growth, and tighter financial conditions predict heightened downside risks to house prices up to three years ahead. The measure of house prices at risk helps forecast downside risks to GDP growth and adds to early-warning models for financial crises. Policymakers can use estimates of house prices at risk to complement other surveillance indicators of housing market vulnerabilities and guide macroprudential policy actions aimed at building buffers and reducing vulnerabilities. Downside risks to house prices could also be relevant for monetary policymakers when forming their views on the downside risks to the economic and inflation outlook. Authorities considering measures to manage capital flows might also find such information useful when a surge in capital inflows increases downside risks to house prices and when other policy options are limited.
    • novembro 2019
      Fonte: countryeconomy.com
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
      Selecionar Conjunto de dados
      Global Stock Market Indexes, Daily Update
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
      Selecionar Conjunto de dados
      This table presents data on Government appropriations or outlays for RD (GBAORD) by socio-economic objective (SEO), using the NABS 2007 classification i.e.: Exploration and exploitation of the Earth, Environment, Exploration and exploitation of space, Transport, telecommunication and other infrastructures, Energy, Industrial production and technology, Health, Agriculture, Education, Culture, recreation, religion and mass media, Political and social systems, structures and processes, General advancement of knowledge: RD financed from General University Funds (GUF), General advancement of knowledge: RD financed from sources other than GUF, Defence. Please note that in this new NABS 2007 classification, the three socio-economic objectives -- Education, Culture, recreation, religion and mass media, and Political and social systems, structures and processes -- were previously grouped under a single objective: Social structures and relationships. At the time of this publication there is no breakdown of historical data into the three new SEOs. Another issue relating to the transition from NABS 1993 to NABS 2007 is that what was formerly Other civil research is now to be distributed among the other chapters. This distribution has not yet been done in this database. Therefore, until the countries are in a position to provide breakdown according to the NABS 2007 classification, in some cases GBAORD by SEO is greater than the sum of its chapters.
  • L
  • O
    • outubro 2018
      Fonte: National Centre for Statistics and Information, Oman
      Carregamento por: Knoema
      Acesso em 22 outubro, 2018
      Selecionar Conjunto de dados
      Data is given on number of visitors to museums and castles as per tourist location and category of visitors. Data is also given on hotel services indicating the number of guests \ classified by hotel, Governorate, type of hotel, guest nationality, hotel revenue and class according to the type of service it provides.
  • R
    • outubro 2015
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 27 outubro, 2015
      Selecionar Conjunto de dados
      Global growth declined in the first half of 2015, reflecting a further slowdown in emerging markets and a weaker recovery in advanced economies. It is now projected at 3.1 percent for 2015 as a whole, slightly lower than in 2014, and 0.2 percentage point below the forecasts in the July 2015 World Economic Outlook (WEO) Update. Prospects across the main countries and regions remain uneven. Relative to last year, growth in advanced economies is expected to pick up slightly, while it is projected to decline in emerging market and developing economies. With declining commodity prices, depreciating emerging market currencies, and increasing financial market volatility, downside risks to the outlook have risen, particularly for emerging market and developing economies. Global activity is projected to gather some pace in 2016. In advanced economies, the modest recovery that started in 2014 is projected to strengthen further. In emerging market and developing economies, the outlook is projected to improve: in particular, growth in countries in economic distress in 2015 (including Brazil, Russia, and some countries in Latin America and in the Middle East), while remaining weak or negative, is projected to be higher next year, more than offsetting the expected gradual slowdown in China.
    • novembro 2019
      Fonte: Reserve Bank of Australia
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
      Selecionar Conjunto de dados
      Reserve Bank of Australia Interest Rates
  • S
  • W

Nossa declaração de privacidade e política de cookies

O nosso website utiliza cookies para facilitar a sua experiência online. Eles foram salvos no seu computador quando você lançou este site. Você pode modificar suas configurações pessoais para cookies através das configurações do seu navegador de Internet.

Política de Privacidade